AI-Powered Property Intelligence
Case Study
Client
HailSolve is a nationwide hail risk management and restoration firm that helps building owners and investors assess, monitor, and repair storm-related roof damage. Combining expertise in construction, insurance, and weather analytics, the company delivers a comprehensive approach that includes hail monitoring, risk assessments, on-site inspections, and restoration management.
HailSolve’s strength lies in its ability to collect, interpret, and act on large volumes of property and weather data, enabling clients to make informed decisions quickly.
Business Goals
After SOLTECH completed HailSolve’s Salesforce Implementation and developed a custom database that connects property and weather data, the team identified another opportunity to improve efficiency.
When a hail event impacted a property, HailSolve’s team needed to know if the same owner had other commercial buildings that might also have been affected. These multi-property relationships, known internally as portfolio accounts, represented important opportunities for client outreach.
Recognizing the need for a faster, more dependable solution, HailSolve turned to SOLTECH to automate this process so that property research could be accurate, fast, and fully connected to their existing systems.
HailSolve needed to turn manual research into intelligent automation for faster, more reliable client response.
Business Challenge
In the past, account managers searched online records and business listings to locate additional properties. This research took time, produced inconsistent results, and slowed their ability to respond quickly after major weather events—precisely when responsiveness mattered most to clients.
Solutions
SOLTECH developed a domain-specific generative AI model engineered to perform a complex property research and data enrichment for HailSolve’s account management team.
When a hail event affects a property that already exists in Salesforce, the team can engage this AI-driven research engine to investigate the property owner and identify whether they own additional buildings that may also have been impacted by a hail event.
The model performs intelligent data discovery across multiple online sources to locate properties connected to the same individual or organization. Once it compiles a list of potential matches, the system passes the results to HailSolve’s custom database for structured processing. Within the database, each address is validated, ownership information is verified, and the properties are cross-referenced with hail event data using precise geographic mapping.
After verification and data enrichment, the new property records are automatically pushed into Salesforce. This gives the team a complete and accurate view of the client’s property portfolio before any outreach takes place.
While the AI model does not retrain itself in the traditional sense, it continuously adapts through data updates and use feedback. This adaptive refinement allows it to improve its contextual understanding and deliver increasingly accurate and relevant results over time.
The result is a fully integrated, enterprise-grade AI workflow that enables HailSolve’s team to uncover portfolio opportunities faster, make data-driven decisions, and engage clients with a comprehensive understanding of their assets.
Impact
The domain-specific generative AI model has transformed the way HailSolve conducts property research and manages client data.
- Faster research: The system automates hours of manual work, allowing account managers to focus on client relationships and outreach.
- Comprehensive visibility: Salesforce now contains a complete and verified view of each client’s property portfolio, ensuring no opportunities are overlooked.
- Data accuracy: Integrated verification keeps property and weather data consistent and dependable across all systems.
- Adaptive performance: The AI model improves its results over time as it receives new data and feedback from users.
- Scalable operations: The automation enables HailSolve to manage more accounts and data sources without increasing administrative work.
Through this partnership, SOLTECH helped HailSolve turn a time-consuming and manual process into an intelligent and adaptive system that supports faster insights, more accurate data, and a stronger competitive position.
